About The Company
DarkVision Technologies Inc. is a Vancouver-based innovative technology firm that has been at the forefront of industrial imaging solutions since 2013. Renowned for developing the world's most advanced acoustic-based imaging platform, DarkVision is transforming how industries assess and visualize the integrity of critical assets. With a strong backing from Blackstone, one of the largest private equity firms globally, the company boasts a talented team of Software, Mechanical, and Machine Learning Engineers, along with Data Analysts, all dedicated to pioneering cutting-edge technologies that blend scientific innovation with real-world applications. DarkVision's mission is to establish itself as the global leader in industrial imaging, providing clients with reliable, high-resolution insights into asset integrity through sophisticated data collection and analysis.
About The Role
DarkVision is seeking a highly skilled Data Engineer to join our Imaging & AI team. In this role, you will be instrumental in developing and maintaining robust data pipelines that support operational intelligence, machine learning models, and client reporting. Your primary focus will be on ensuring the accuracy, efficiency, and scalability of data transformation processes, enabling seamless integration of complex datasets into actionable insights. The Data Engineer will act as a vital link between data analysts, machine learning engineers, and end-users, facilitating the flow of high-quality data from raw acquisition to final visualization. This position involves working on large-scale ultrasound imaging datasets that capture minute defects across extensive assets, requiring meticulous pipeline architecture with traceability and validation at its core. The role offers an exciting opportunity to work on innovative projects in a collaborative environment, contributing to the development of next-generation industrial imaging solutions.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field
- Minimum of 2 years of experience writing production-level code within a team environment
- Proficiency in Python for data manipulation, analysis, and pipeline development
- Experience with data manipulation libraries such as Pandas, Polars, or similar
- Familiarity with version control systems, particularly Git/GitHub
- Hands-on experience with cloud infrastructure platforms, preferably AWS
- Strong communication skills to articulate complex technical concepts to non-technical stakeholders
Responsibilities
- Design, develop, and optimize data pipelines to support reporting, visualization, and machine learning workflows
- Identify and resolve bottlenecks and coverage gaps in existing data workflows to ensure high performance and reliability
- Implement rigorous testing and validation processes to maintain report accuracy and integrity
- Create and maintain internal applications and dashboards for data access and report generation, collaborating with stakeholders to gather requirements and implement solutions
- Automate rendering pipelines for compelling 2D and 3D visualizations that translate complex acoustic data into clear insights for executive audiences
- Write code to generate new visualizations, embed them into reports, and integrate relevant data sources seamlessly
- Ensure data lineage, traceability, and documentation are maintained throughout all pipelines and processes
Benefits
- Competitive salary range of CAD 70,000 to CAD 110,000 per year, commensurate with experience
- Variable pay options including bonuses or other incentives
- Access to a fully equipped on-site amenities including gym, squash court, steam room, and climbing wall
- Opportunities for professional growth and development within a pioneering technology company
- Collaborative and innovative work environment with cutting-edge projects
- Comprehensive health and wellness benefits package (details to be provided by the company)
Equal Opportunity
DarkVision Technologies Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status under applicable law.
